This study applies quantum cognition frameworks to investigate how Nigerian media audiences sustain contradictory beliefs ("superposition") across climate change, political narratives, and AI discourses. The study examines: (1) extent of superposition prevalence, (2) probabilistic belief distributions via quantum mathematics, (3) real-world collapse triggers, and (4) superposition duration. Using a mixed-design quasi-experiment, 800 Nigerian adults completed a Quantum Belief Scale (QBS) measuring probabilistic agreement with contradictory statements. Participants were stratified into intervention groups receiving domain-specific stimuli (IPCC reports, OECD guidelines, political endorsements) and a control. Experience Sampling Methodology tracked real-time belief fluctuations over 14 days. Quantum probability models and survival analyses were applied. Key findings reveal: Significant superposition across domains—political (56.7%), climate (50.1%), AI (45.2%)—challenging cognitive dissonance models. Climate-political beliefs showed strongest quantum correlations (concurrence=0.435±0.056), violating Bell inequalities (S>2), confirming non-classical interdependencies. Triggers like authoritative credible sources (e.g., NIMET climate data: 81.2% collapse rate) outperformed social media. Domain-specific interventions reduced superposition by 16–18% without cross-domain spillover. Also, the duration of median superposition stability lasted 8.4 days, extended among rural (9.1 days) and less educated (9.8 days) participants. Beliefs re-superposed within 18–24 hours post-collapse without reinforcement.
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